Abstract
We report the findings of the second edition of the shared task on improving robustness in Machine Translation (MT). The task aims to test current machine translation systems in their ability to handle challenges facing MT models to be deployed in the real world, including domain diversity and non-standard texts common in user generated content, especially in social media. We cover two language pairs - English-German and English-Japanese and provide test sets in zero-shot and few-shot variants. Participating systems are evaluated both automatically and manually, with an additional human evaluation for “catastrophic errors”. We received 59 submissions by 11 participating teams from a variety of types of institutions.
Original language | English |
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Title of host publication | 5th Conference on Machine Translation, WMT 2020 - Proceedings |
Editors | Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-Jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Andre Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 76-91 |
Number of pages | 16 |
ISBN (Electronic) | 9781948087810 |
Publication status | Published - 2020 |
Event | 5th Conference on Machine Translation, WMT 2020 - Virtual, Online Duration: 19 Nov 2020 → 20 Nov 2020 |
Publication series
Name | 5th Conference on Machine Translation, WMT 2020 - Proceedings |
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Conference
Conference | 5th Conference on Machine Translation, WMT 2020 |
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City | Virtual, Online |
Period | 19/11/20 → 20/11/20 |